Continuous agent loop

Skill mturac/everything-openai-codex/docs/zh-CN/skills/continuous-agent-loop

具有质量门、评估和恢复控制的连续自主代理循环模式。From its SKILL.md

Install

npx -y skills add mturac/everything-openai-codex --skill continuous-agent-loop

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.0 KB, 350 tokens by cl100k_base, as published. Nobody here has run it

持续代理循环

这是 v1.8+ 的规范循环技能名称。它在保持一个发布版本的兼容性的同时，取代了 autonomous-loops。

循环选择流程

Start
  |
  +-- 需要严格的 CI/PR 控制？ -- yes --> continuous-pr
  |
  +-- 需要 RFC 分解？ -- yes --> rfc-dag
  |
  +-- 需要探索性并行生成？ -- yes --> infinite
  |
  +-- default --> sequential

组合模式

推荐的生产栈：

RFC 分解 (ralphinho-rfc-pipeline)
质量门 (plankton-code-quality + /quality-gate)
评估循环 (eval-harness)
会话持久化 (nanoclaw-repl)

故障模式

循环空转，没有可衡量的进展
因相同根本原因而重复重试
合并队列停滞
无限制升级导致的成本漂移

恢复

冻结循环
运行 /harness-audit
将范围缩小到失败单元
使用明确的验收标准重放

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.